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Professur für Mess- und Sensortechnik
Research Projects
Professur für Mess- und Sensortechnik 
 

Novel Sensors and Measurement Methods Based on Impedance Spectroscopy

Bio-Stance
3D Body Scanner with Bioimpedance Spectroscopy for Orthotic and Prosthetic Fitting (Bio-Stance)
AiF
CableDiag
Cable Diagnosis via Impedance Spectroscopy
SensPap
Integrated BMS Sensor System Based on Functional Paper Substrates
AiF
BacSense supporting
A portable electrochemical biosensor for rapid detection of Streptococcus pneumoniae in whole blood using nanostructured peptides and aptamers
AiF
ZyPepPOCSense supporting
Development of a cyclic-peptide-based point-of-care (POC) diagnostic for rapid detection of Streptococcus pneumoniae on surfaces and swabs.
SAB
SHIELD supporting
Structural Health Inspection with Embedded Low-power Devices
EU
STS supporting
"SmartTexStim" – Neurofunctional Suit with Integrated Electrostimulation Textiles
BMBF

Funded by AiF ZIM (AiF) , Duration: 04/2025 - 03/2027 (24 months)

Partners: ViALUX Messtechnik + Bildverarbeitung GmbH

Aim:

The project develops a 3D body scanner combining DLP video rasterstereography-based posture analysis, foot pressure distribution analysis, and bioimpedance spectroscopy. The system supports orthotic and prosthetic fitting into the medical-therapeutic domain, enabling quantitative tracking and documentation of treatment progress. Bioimpedance analysis helps detect muscular imbalances and abnormal tension, providing a holistic quantitative picture of the patient.

Duration: 07/2026 - 04/2028 (22 months)

Partners: Industrial partner (name withheld)

Aim: Development of impedance spectroscopy methods for non-destructive cable diagnosis and condition monitoring.

Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 06/2025 - 12/2027 (31 months)

Partners: TU Chemnitz – Measurement and Sensor Technology (MST), PTS-Institut für Fasern und Papier gGmbH, BAUMACO Handels- und Produktions GmbH & Co. KG, Krebs‘ engineers GmbH

Aim:

Development of an intelligent battery monitoring system using multisensors integrated in functional paper substrates to detect temperature and pressure anomalies in lithium battery packs earlier than conventional BMS (Battery Management System) monitoring. The sensors measure temperature distribution and cell deformation/pressure directly at cell surfaces to enable earlier detection of battery failure.

Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 09/2025 - 04/2028 (32 months)

Partners: TUC - Mess- und Sensortechnik, Sciospec Scientific Instruments GmbH, Peptina Biotech Ltda, SENAI ISI-EQ

Aim:

The objective of the overarching project within the IraSME framework is the development of a medical analytical device aimed at improving point of care diagnostics for infections caused by Streptococcus pneumoniae, with a primary focus on clinical applications. To this end, a novel test strip based rapid assay with high selectivity for this bacterium is to be developed. The targeted system performance is achieved through two key innovations: the development of advanced test strips with functionalized electrode structures and the development of a novel measurement electronics platform enabling multidimensional impedance analysis. Within the scope of the national funding, the primary focus is on the development of the electronic system. The test strips themselves are developed mainly by the Brazilian partners, which clearly underlines the necessity of this international collaboration. From an economic perspective, the long term success of this approach is expected to be largely determined by the availability and cost of the test strips over time.

Funded by SAB von der Sächsischen Aufbaubank (SAB) , Duration: 08/2025 - 12/2027 (29 months)

Partners: TUC - Mess- und Sensortechnik und Universität Leipzig

Aim:

ZyPepPOCSense project develops a cyclic-peptide-based assay designed for on-site screening of swabs and surfaces, prioritizing simplicity of use and robust performance in real-world settings. While antibody-based detection is highly specific, antibodies often require cold-chain storage and can be expensive to produce and distribute. Cyclic peptides can offer comparable affinity and selectivity with improved thermal and proteolytic stability and are amenable to automated, lower-cost synthesis; this project will test the hypothesis that cyclic peptides can match antibody performance while enabling longer shelf life and simpler logistics, thereby supporting faster, targeted treatment decisions and reducing unnecessary antibiotic use.

Funded by EU ZIM (Deutschland-Schweden-Kooperation) , Duration: 05/2026 – 04/2028 (24 Monate)

Partners: FIBERCHECK GmbH (Chemnitz), Mid Sweden University (Sundsvall, Schweden), IoT BRIDGE AB (Schweden)

Aim:

Monitoring wear parameters on bridges is essential to track structural condition and assess maintenance needs early. The consortium is developing a cost-effective, reliable, and sufficiently accurate monitoring system based on embedded low-power devices, leveraging synergies from German-Swedish cooperation.

Funded by BMBF BMBFR , Duration: 01/2025 - 12/2027 (36 months)

Partners: NOON GmbH, Sanimax GmbH, TUC-Motorik, Kognition und Neurophysiologie (MKN)

Aim:

Patients with neurological conditions such as Multiple Sclerosis or musculoskeletal disorders such as herniated discs require integrated diagnostic-therapeutic solutions. Conventional medical devices often separate diagnosis and therapy and rely on rigid, non-wearable components. The project consortium addresses this challenge with an innovative textile-integrated sensor and stimulation system. The goal is to develop a washable, wearable neurofunctional suit that combines diagnostic functions (electromyography (EMG), bioimpedance spectroscopy, force myography (FMG)) with therapeutic applications (TENS electrostimulation) in a single textile platform. The innovation lies in the permanent integration of sensors directly into textile structures through knitting technology, rather than using removable standard sensors. This approach ensures continuous skin contact, wearing comfort, and washability while maintaining medical device compliance standards. The SmartTexStim suit provides patients with a comprehensive solution for muscle activity monitoring and therapeutic stimulation in everyday life.

Wearable Systems

GebärdenLex
Development of a Wearable Real-Time Translation System for German Sign Language
BMWK
STS
"SmartTexStim" – Neurofunctional Suit with Integrated Electrostimulation Textiles
BMBF

Funded by BMWK BMWK , Duration: 01/2026 - 12/2027 (24 months)

Partners: BITech AG, Textildruckerei Lunzenau

Aim:

More than 430 million people worldwide live with hearing impairment — a number projected to surpass 700 million by 2050. For many, sign language is their only means of communication, yet the vast majority of people around them cannot understand it. This communication barrier contributes to social isolation, reduced quality of life, and limited participation in everyday situations. Bridging this gap effectively and unobtrusively remains an unsolved challenge.

Current translation technologies fall short in critical ways. Camera-based systems are sensitive to lighting, require fixed setups, and raise serious privacy concerns. Glove-based devices are bulky, expensive, and socially conspicuous. Existing armband solutions relying solely on EMG signals suffer from signal crosstalk, skin sensitivity, and poor generalization across users.

GebärdenLex takes a fundamentally new approach. The project develops a discreet, washable textile armband that fuses three complementary biosignal modalities, including  Electromyography (EMG), Force Myography (FMG), and Inertial Measurement Units (IMU), worn on both forearms simultaneously. This hybrid sensing strategy captures the full richness of hand and finger movement with a robustness no single-sensor approach can match, while eliminating any dependency on cameras or restrictive wearables. Advanced machine learning algorithms process the combined signals in real time, recognizing 44 core gestures from A1-level German Sign Language and converting them into text or spoken language with a latency of under 100 milliseconds. A companion mobile app delivers live visualization of recognized gestures, automatic personalized sensor calibration, and multilingual speech output in English, French, and Spanish.

The result is a wearable communication aid that is lightweight (≈80 g), comfortable for at least 8 hours of daily use, washable, and priced at around €200, a fraction of the cost of competing solutions. By combining textile engineering, biosignal processing, and embedded machine learning across three specialized partners, GebärdenLex aims to deliver a practical, everyday tool that gives people who are deaf or hard of hearing a new voice in a hearing world.

Funded by BMBF BMBFR , Duration: 01/2025 - 12/2027 (36 months)

Partners: NOON GmbH, Sanimax GmbH, TUC-Motorik, Kognition und Neurophysiologie (MKN)

Aim:

Patients with neurological conditions such as Multiple Sclerosis or musculoskeletal disorders such as herniated discs require integrated diagnostic-therapeutic solutions. Conventional medical devices often separate diagnosis and therapy and rely on rigid, non-wearable components. The project consortium addresses this challenge with an innovative textile-integrated sensor and stimulation system. The goal is to develop a washable, wearable neurofunctional suit that combines diagnostic functions (electromyography (EMG), bioimpedance spectroscopy, force myography (FMG)) with therapeutic applications (TENS electrostimulation) in a single textile platform. The innovation lies in the permanent integration of sensors directly into textile structures through knitting technology, rather than using removable standard sensors. This approach ensures continuous skin contact, wearing comfort, and washability while maintaining medical device compliance standards. The SmartTexStim suit provides patients with a comprehensive solution for muscle activity monitoring and therapeutic stimulation in everyday life.

Micro and Nano Sensors

PolySens
Generic Development and Integration Method of Nanocomposite-Functionalized Polymer Sensors
SAB
ISIMON
In-situ Structural Health Monitoring of Functional Composite Structures
SAB
KuhMa
Pressure Measurement System for Early Detection of Lameness and Hoof Diseases in Dairy Cows
RPAhome
Versatile rehabilitation and care assistance system
Bio-Stance supporting
3D Body Scanner with Bioimpedance Spectroscopy for Orthotic and Prosthetic Fitting (Bio-Stance)
AiF
STS supporting
"SmartTexStim" – Neurofunctional Suit with Integrated Electrostimulation Textiles
BMBF

Funded by SAB Sächsische Aufbaubank (SAB) , Duration: 01.03.2025 - 31.12.2027 (34 Monate), Fördervolumen: 850.627 €

Partners: Professur für Mess- und Sensortechnik, Professur für Produktionssysteme und -prozesse

Aim:

PolySens focuses on developing polymer-based nanocomposite strain and pressure sensors for machine tool applications. The project aims to develop a generic methodology for sensor material design, integration, and validation, enabling sustainable Industry 4.0 applications in mechanical engineering, including bolt joint monitoring and hydrodynamic linear guide lubrication control. Through systematic material development, integration into real machine components, and validated measurement methods, a transferable solution for intelligent manufacturing systems is created.

Funded by SAB M-ERA.NET und Sächsische Aufbaubank (SAB) , Duration: 08.04.2024 - 31.03.2027 (36 Monate), Fördervolumen: 544.609 €

Partners: TUC-Mess- und Sensortechnik, internationale Partner

Aim:

The ISIMON project aims to develop a novel self-sensing Fibre Reinforced Polymer (FRP) vessel for high-pressure fuel storage. This innovation addresses the critical need for monitoring both the fabrication process and the structural health of the vessel during its service life. We achieve this by integrating highly sensitive nanocomposite (NC) based sensors into the FRPs during the winding process for enhancing safety and performance in the automotive, aeronautics, and aerospace industries. Advanced modeling, simulation, and machine learning techniques optimize the smart FRP vessel, reducing material usage through topological optimization. Experimental tests and machine learning algorithms for structural health monitoring validate the vessel's performance, potentially revolutionising hydrogen fuel storage with cost-effective, real-time monitoring capabilities.

Project Website

Funded by Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.07.2025 - 31.12.2027 (30 Monate), Fördervolumen: 220.000 €

Partners: TUC-Mess- und Sensortechnik, Industriepartner

Aim: KuhMa aims to develop a sensor mat system using CNT-based nanocomposite sensors to detect early signs of lameness and hoof diseases in dairy cows. The system integrates pressure measurement, data acquisition, and AI-based pattern recognition to support animal welfare and reduce economic losses in dairy farming. Through continuous monitoring of pressure distribution during cow gait over the intelligent sensor mat, deviations from normal gait patterns can be detected early, and farmers can be automatically informed to initiate timely veterinary measures.

Partners: TUC-Mess- und Sensortechnik, Straka 3D-Lasertechnik GmbH, Universität Bayreuth

Aim: Partners: TUC-Measurement and Sensor Technology, Straka 3D-Lasertechnik GmbH, Universität Bayreuth Aim: The RPAhome project is developing a novel assistance system for home and outpatient care. Using highly sensitive nanocomposite pressure sensors and electrical resistance tomography, the system can detect the body position and pressure distribution of patients in real time and provide targeted support for micro and macro positioning. With a segmentable mattress, adjustable frame and intelligent control system, it makes it easier for relatives and carers to reposition, support, relieve pressure and prevent pressure ulcers - with significantly reduced physical strain. Developed by Straka 3D-Lasertechnik GmbH, the University of Bayreuth and the Technical University of Chemnitz, RPAhome aims to provide millions of patients and their families with efficient, safe and user-friendly support, alleviate the shortage of nursing staff and improve quality of life.

Funded by AiF ZIM (AiF) , Duration: 04/2025 - 03/2027 (24 months)

Partners: ViALUX Messtechnik + Bildverarbeitung GmbH

Aim:

The project develops a 3D body scanner combining DLP video rasterstereography-based posture analysis, foot pressure distribution analysis, and bioimpedance spectroscopy. The system supports orthotic and prosthetic fitting into the medical-therapeutic domain, enabling quantitative tracking and documentation of treatment progress. Bioimpedance analysis helps detect muscular imbalances and abnormal tension, providing a holistic quantitative picture of the patient.

Funded by BMBF BMBFR , Duration: 01/2025 - 12/2027 (36 months)

Partners: NOON GmbH, Sanimax GmbH, TUC-Motorik, Kognition und Neurophysiologie (MKN)

Aim:

Patients with neurological conditions such as Multiple Sclerosis or musculoskeletal disorders such as herniated discs require integrated diagnostic-therapeutic solutions. Conventional medical devices often separate diagnosis and therapy and rely on rigid, non-wearable components. The project consortium addresses this challenge with an innovative textile-integrated sensor and stimulation system. The goal is to develop a washable, wearable neurofunctional suit that combines diagnostic functions (electromyography (EMG), bioimpedance spectroscopy, force myography (FMG)) with therapeutic applications (TENS electrostimulation) in a single textile platform. The innovation lies in the permanent integration of sensors directly into textile structures through knitting technology, rather than using removable standard sensors. This approach ensures continuous skin contact, wearing comfort, and washability while maintaining medical device compliance standards. The SmartTexStim suit provides patients with a comprehensive solution for muscle activity monitoring and therapeutic stimulation in everyday life.

Electrochemical Sensors

BacSense
A portable electrochemical biosensor for rapid detection of Streptococcus pneumoniae in whole blood using nanostructured peptides and aptamers
AiF
ZyPepPOCSense
Development of a cyclic-peptide-based point-of-care (POC) diagnostic for rapid detection of Streptococcus pneumoniae on surfaces and swabs.
SAB
MultiGASens
Development of an Adaptive Chemiresistive Multi-Gas Sensor System for Monitoring Indoor Environments and Industrial Processes
HemMiSens
Development of an online sensor system for automatic monitoring of the absence of inhibitors in milk during milking
AiF
SAFE
Electrochemical-SERS sensor Array for Multiple classes of pesticides detection
HOCSense
Oxamide Complex-based Sensors for the Detection of Halogenated Organic Compounds
EU
Print4POC+
Print4POC+ - Functional printing for innovative POC systems

Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 09/2025 - 04/2028 (32 months)

Partners: TUC - Mess- und Sensortechnik, Sciospec Scientific Instruments GmbH, Peptina Biotech Ltda, SENAI ISI-EQ

Aim:

The objective of the overarching project within the IraSME framework is the development of a medical analytical device aimed at improving point of care diagnostics for infections caused by Streptococcus pneumoniae, with a primary focus on clinical applications. To this end, a novel test strip based rapid assay with high selectivity for this bacterium is to be developed. The targeted system performance is achieved through two key innovations: the development of advanced test strips with functionalized electrode structures and the development of a novel measurement electronics platform enabling multidimensional impedance analysis. Within the scope of the national funding, the primary focus is on the development of the electronic system. The test strips themselves are developed mainly by the Brazilian partners, which clearly underlines the necessity of this international collaboration. From an economic perspective, the long term success of this approach is expected to be largely determined by the availability and cost of the test strips over time.

Funded by SAB von der Sächsischen Aufbaubank (SAB) , Duration: 08/2025 - 12/2027 (29 months)

Partners: TUC - Mess- und Sensortechnik und Universität Leipzig

Aim:

ZyPepPOCSense project develops a cyclic-peptide-based assay designed for on-site screening of swabs and surfaces, prioritizing simplicity of use and robust performance in real-world settings. While antibody-based detection is highly specific, antibodies often require cold-chain storage and can be expensive to produce and distribute. Cyclic peptides can offer comparable affinity and selectivity with improved thermal and proteolytic stability and are amenable to automated, lower-cost synthesis; this project will test the hypothesis that cyclic peptides can match antibody performance while enabling longer shelf life and simpler logistics, thereby supporting faster, targeted treatment decisions and reducing unnecessary antibiotic use.

Funded by ZIM , Duration: 07/2026 - 12/2028 (30 months)

Partners: SEIKOM Electronic GmbH & Co. KG

Aim:

MultiGASens develops an adaptive chemiresistive multi gas sensor system for monitoring indoor environments and industrial processes. The project aims to enable the simultaneous detection and quantification of multiple gases in complex gas mixtures while also considering flow related effects that influence sensor response. At the core of the system is a nanostructured sensor array based on functional composite materials, combined with integrated electronics and machine learning based signal analysis. Different sensor channels generate characteristic gas fingerprints, which are evaluated together with physical context parameters such as temperature, humidity and gas flow. This approach is intended to improve selectivity, robustness and real time performance under dynamic operating conditions. Chemnitz University of Technology contributes the scientific development of the sensor materials, electrode arrays, gas response characterization and data driven evaluation methods. SEIKOM Electronic GmbH & Co. KG focuses on industrial system integration, electronics, housing design, flow sensing and the preparation of the system for demanding industrial requirements. Together, the partners aim to create a compact intelligent sensor module for safer, more efficient and digitally connected gas monitoring.

Funded by AiF von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 07/2025 - 12/2027 (30 months)

Partners: TUC - Mess- und Sensortechnik und FFI GmbH Nohra

Aim: HemMiSens project aims to develop an online electrochemical inhibitor sensor system for automatic monitoring of antibiotic-free milk during milking. As part of the project by TUC and FFI GmbH, a highly selective and sensitive nanocomposite-based electrochemical sensor is to be developed, which will be integrated into automated milking systems for real-time inhibitor detection. Continuous monitoring of milk quality during the milking process is necessary to ensure antibiotic-free dairy products and comply with food safety regulations. During milking, the milk quality should be automatically assessed and reference measurements must be made to compare the sensor results with established laboratory analytical methods for inhibitor detection.

Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2025 - 12/2026 (24 months)

Partners: Chemnitz University of Technology (Germany), Federal University of Parana (Brazil)

Aim: The SAFE project aims to develop an innovative EC-SERS sensor array for the simultaneous detection of four major pesticide classes: organophosphates, carbamates, organochlorides, and pyrethroids. Building on previous bilateral research (INSIDE project), this project integrates laser-reduced graphene oxide (LrGO) electrodes, metal nanoparticles, and advanced chemometric machine learning algorithms to create highly sensitive, selective, and energy-efficient hybrid detection systems. Through systematic surface optimization, density functional theory (DFT) analysis, and interdisciplinary collaboration, the project fosters the creation of robust detection platforms while promoting the international training and mobility of young researchers.

Funded by EU von der Deutschen Forschungsgemeinschaft , Duration: 01/2025 - 12/2027 (36 months)

Partners: TUC - Mess- und Sensortechnik, Prof. Dr. Michael Mehring (TUC, Coordination Chemistry), Prof. Igor Pasti (University of Belgrade, Serbia), verschiedene Teilnehmer in Deutschland, Serbien, Italien, and Tunisien

Aim:

The HOC-SENSE project aims to develop non-enzymatic, electrochemical sensors for the direct detection of halogenated organic compounds (HOCs), such as brominated flame retardants and polychlorinated biphenyls, in environmental samples. Using oxamide-based complexes (OXCs) hybridized with nanomaterials (graphene, TiO2, conductive polymers), the project targets robust, selective, and sensitive detection of persistent pollutants. The innovative sensors reduce the potential required for HOC reduction and enhance sensor performance by facilitating electron transfer. Demonstrators include poly [Ni2(oxamide)] modified electrodes for lindane detection and functionalized laser-induced graphene electrodes for improved sensitivity.

Funded by Dieses Vorhaben wird gefördert im Rahmen der FuE-Verbundprojektförderung 2021–2027. , Duration: 12/2024 - 11/2026 (24 months)

Partners: Fraunhofer ENAS, Fraunhofer IWU, TUC - Mess- und Sensortechnik, Saralon GmbH (SME), Otto Injection Molding GmbH & Co. KG (SME)

Aim:

The Print4POC project aims to develop a technology platform for functional printing of actuator and sensor elements in microfluidic point-of-care (PoC) systems. The focus is on replacing conventional, resource-intensive subtractive methods with additive printing technologies such as screen printing and aerosol jet printing. Various substrates (including sustainable materials like bioplastics) in 2D, 2.5D, and 3D forms will be functionalized. As a demonstrator, a biospecific screen-printed biosensor based on functionalized MWCNTs and gold nanoparticles will be developed for detecting prostate cancer biomarkers. This innovative approach allows for selective DNA immobilization and ultrasensitive electrochemical detection of PSA and IL-6.

Wireless Sensors and Energy Harvesting

SHIELD
Structural Health Inspection with Embedded Low-power Devices
EU

Funded by EU ZIM (Deutschland-Schweden-Kooperation) , Duration: 05/2026 – 04/2028 (24 Monate)

Partners: FIBERCHECK GmbH (Chemnitz), Mid Sweden University (Sundsvall, Schweden), IoT BRIDGE AB (Schweden)

Aim:

Monitoring wear parameters on bridges is essential to track structural condition and assess maintenance needs early. The consortium is developing a cost-effective, reliable, and sufficiently accurate monitoring system based on embedded low-power devices, leveraging synergies from German-Swedish cooperation.

 

Electrochemical Sensors

2025
PRIMINAS
Micro- and nanotechnology research and innovation program for sensors (European Commission)
EU

Funded by EU von der Europäischen Kommission , Duration: 01/2023 - 12/2025 (36 months)

Partners: TUC - Mess- und Sensortechnik, Center for Research on Microelectronics and Nanotechnology (CMRN), Sousse, Tunisia, Laboratory of Microelectronic Technologies (LTM), Grenoble, France, Universidad Politécnica de Madrid (UPM), Spain

Aim: The goal of this project is the development of intelligent systems, which are required for the resource-efficient production of healthy food in coupled agricultural production systems. The role of the Professorship of Measurement and Sensor Technology MST is the development of suitable sensors that enable the digitization, optimization and control of these complex biotechnological, agricultural production systems.
2024
INSIDE
In-situ Spectro electrochemical characterization and Detection of pesticides by nanohybrid 2D materials

Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2023 - 12/2024 (24 months)

Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Federal University of Parana (Brazil)

Aim: INSIDE aims to advance environmental monitoring of pesticides through the complementary combination of electrochemical sensing and surface enhanced Raman spectroscopy. The project develops laser induced graphene electrodes functionalized with nanohybrid 2D materials, including black phosphorene and conducting polymer-based composites decorated with metallic nanoparticles, enabling sensitive detection of electroactive nitrophenols and challenging analytes such as pirimicarb. Beyond individual EC and SERS performance optimization, INSIDE targets an in-situ dual measurement concept with simultaneous EC–SERS acquisition, mechanistic understanding of signal interdependencies, and chemometrics driven data fusion for reliable qualitative and quantitative analysis.
2023
Biomass
Development of a miniaturized combined biomass, pH and oxygen sensor integrated in scalable disposable bioreactors (Biomass) (ZIM)
DUALSENS
Dual sensors for a highly specific and quantitative chemical analysis in the detection of pesticides (DFG)
DFG EU
PHOTOSENS
Laser structuring of GO for PHOTOtronic SENSORS and its characterization in the nano range (DFG)
DFG EU
Nutricon
Sensor-controlled nutrient management to optimize biotechnological-agricultural production systems (SAB)
SAB

Funded by von der Zentrales Innovationsprogram Mittelstand (ZIM) , Duration: 06/2021 - 12/2023 (31 months)

Partners: TUC-Mess- und Sensortechnik, Hegewald Medizinprodukte GmbH, Lichtenberg, Germany

Aim: Development of a miniaturized combined biomass, pH and oxygen sensor that will be integrated into scalable single-use bioreactors. As part of the project by TUC and Hegewald Medizinprodukte GmbH (HMP), a miniaturized combined biomass, pH and oxygen sensor is to be developed, which will be integrated into scalable single-use bioreactors. Controlled growth of cells, bacteria or other viable biomass in a bioreactor is necessary to verify and validate the development results. During growth, the growth conditions should be controlled and reference measurements must be made to compare the results from the sensors with well-defined reference values from commercial sensors.

Funded by DFG EU von der Deutsche Forschungsgemeinschaft (DFG) , Duration: 01/2021 - 12/2023 (36 months)

Partners: TUC - Mess- und Sensortechnik, Tomsk University (Russland)

Aim: Pesticides are among the problematic pollutants found in water, food and soil as they accumulate in the environment and pose a serious risk to humans. The gold standard approaches of analytical chemical detection are expensive and laborious. Electrochemical methods (EC), such as B. the impedance spectroscopy and the voltammetric methods are inexpensive and quantitative, are often used in analytical chemistry, but usually have a low selectivity. Surface-enhanced Raman spectroscopy (SERS) is highly sensitive and detects chemical "fingerprints" of molecules, but faces critical challenges when it comes to performing quantitative analysis. The combination of the two measurement principles in one measurement method offers the possibility of gaining more specific and quantifiable information about complex analytes, improving sensitivity and realizing synergy effects. However, it presents some challenges due to the expected dependency of the two methods. The electric potential affects surface properties, ion concentration, and charge transfer between analytes, thereby also affecting SERS enhancement. The photoinduced effects, such as photocatalytic reactions on plasmonic surfaces, can generate new products that offer new opportunities to obtain additional information about the complex mixtures by analyzing these products electrochemically. In this project, the combination of EC methods with SERS for the ultrasensitive label-free detection of analytes in complex mixtures will be investigated. It aims to answer fundamental questions raised by this dual-sensing approach regarding feasibility, configuration, prospective specificity and quantification limits in depth and to identify synergistic effects and mutual influences in pesticide detection. The knowledge acquired should form the basis for novel and cost-effective portable, highly specific and ultra-sensitive sensor systems.

Funded by DFG EU von der Deutsche Forschungsgemeinschaft (DFG) , Duration: 02/2020 - 01/2023 (36 months)

Partners: TUC-Mess- und Sensortechnik, TUC-Halbleiterphysik

Aim: Graphene oxide (GO) can be used to implement multifunctional sensors due to its sensitivity to various measured variables. It has the decisive advantage of quick and easy production as an ultra-thin layer, since it can be structured and functionalized by laser writing. By varying the laser parameters, the degree of reduction can be adjusted in order to change the electrical properties, such as the band gap, in a defined manner. The sensing characteristics can be set to a specific quantity or range of measurement. The main goal of PHOTOSENS is to investigate the possibility of tuning the electronic properties, i.e. work function and band gap, of GO layers by laser reduction in order to improve their elongation and photosensitivity. For this purpose, in-plane heterostructure patterns of GO layers with thicknesses from a few nanometers to hundreds of nanometers are realized with the laser.

Funded by SAB the SAB as part of the TG 70 program , Duration: 01/2020 - 12/2023 (48 months)

Partners: TUC control technology and system dynamics, TUC measurement and sensor technology, TUC applied analysis,

Aim: The goal of this project is the development of intelligent systems, which are required for the resource-efficient production of healthy food in coupled agricultural production systems. The role of the Professorship of Measurement and Sensor Technology MST is the development of suitable sensors that enable the digitization, optimization and control of these complex biotechnological, agricultural production systems.
Undated
InnoTeam SimplySafe
Sensorsystem für Sicherheit und Gesundheit (ESF)
ESF

Funded by ESF von der SMWA durch ESF Fonds, Laufzeit 01.10.2018 - 30.09.2020

Partners: Corant GmbH, Technische Universität Chemnitz, 3dvisionlabs GmbH

Aim:

Im Fokus der Forschungsaktivitäten stehen die Themen Gesundheit und Sicherheit, mit der speziellen Zielsetzung der Erkennung von Gefahrensituationen für den Menschen durch gesundheitsschädliche Substanzen und daraus resultierende gefährliche Situationen. Die multimodale Sensorbox soll sich perspektivisch nahtlos in die Technik von Wohn- und Arbeitsräumen integrieren lassen. Die erfassten Daten sollen auf Wunsch zentral über eine Anwendung auf dem Mobiltelefon oder im Browser abgerufen und weiterverarbeitet werden können. Auch können Meldeketten realisiert werden, um bspw. Hilfe zu rufen und Informationen über die Situation vor Ort an Dienstleister und Hilfeleistenden direkt zu übermitteln. Auch die Integration in andere Systeme soll durch Integration standardisierter Schnittstellen vorangetrieben werden. So sollen zum Beispiel Möglichkeiten geschaffen werden Alarmsituationen global über alle verfügbaren Geräte im Netzwerk auszugeben.

Novel Sensors and Measurement Methods Based on Impedance Spectroscopy

2024
SPP 2183
Controlled projection spinning for the production of components with a defined hardening (DFG)
DFG EU
SmartHoub supporting
Smart Lightweight Functionalized Materials for Housing of Batteries
SensoMat supporting
Smart mattress with a matrix of sensors based on nanocomposites for monitoring pressure ulcers and decubitus ulcers (ZIM)

Funded by DFG EU von der Deutschen Forschungsgemeinschaft im Rahmen des Schwerpunktprogramms 2183: Eigenschaftsgeregelte Umformprozesse, DFG Projektnummer: 424334154 , Duration: 3/2020 - 2/2024 (48 Monate in der 1. und 2. Förderphase)

Partners: TUC-Mess- und Sensortechnik, TUC-Virtuelle Fertigungstechnik

Aim:

The project (SPP 2183) aims to develop a novel control strategy for the incremental forming process of projecting. The basic concept consists of the determination and targeted setting of the target strength of rotationally symmetrical components during forming. A multi-sensor system is used for this, which consists of a magnetic field sensor with integrated temperature and distance measurement. In addition to the targeted adjustment of component properties, it is also possible to react to external influences such as batch fluctuations or irregularities in the sheet thickness during forming.

Duration: 15/06/2021 - 31/05/2024

Partners: TUC-Mess- und Sensortechnik, TUC-Professur Strukturleichtbau und Kunststoffverarbeitung, ?zmir Katip Çelebi University (Türkei), University of Sao Paulo FFCLRP (Brasilien), Bavi Plastic Ltda. (Brasilien)

Aim: In SmartHoub, a novel, functional, smart battery packaging technology was developed based on a hybrid laminate material system that combined printed electronics with lightweight structural composite and metal layers. The hybrid laminate offered a high strength-to-density ratio with 40% weight reduction compared to steel.

Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.08.2022 - 31.07.2024

Partners: TUC-Mess- und Sensortechnik, Motz GmbH

Aim: The "SensoMat" project aimed to develop a novel intelligent modular mattress with a matrix of sensors (1,089) for precise monitoring of pressure ulcers and decubitus. A dispersion method was developed to produce an ultra-thin sensitive layer based on CNT sensors.
Undated
HZwo-StabiGrid
Technical and economic design of the hydrogen system to stabilize the electrical network for 80% renewable energies (ESF Plus-SAB)
EU ESF

Funded by EU ESF von Mitteln der European Social Fund Plus (ESF Plus) und des Freistaats Sachsen, 1/2023 - 12/2024

Partners: TUC-Alternative Fahrzeugantriebe, TUC-Betriebswirtschaft - Betriebliche Umweltökonomie und Nachhaltigkeit, TUC-Elektrische Energiewandlungssysteme und Antriebe, TUC-Energie- und Hochspannungstechnik, TUC-Mess- und Sensortechnik, TUC-Regelungstechnik und Systemdynamik, TUC-Technische Thermodynamik

Aim:

HZwo-StabiGrid aims to integrate hydrogen systems into the power grid. Two main goals are being pursued: firstly, to reduce the risk of grid failures and secondly, to make a positive contribution to the energy transition through the use of hydrogen as an energy source. In order to ensure grid stability in the course of the energy transition, we are researching in the project the performance that green hydrogen-based energy storage systems must have in comparison to traditional storage systems. In particular, we are investigating the extent to which hydrogen systems and their converters can meet the requirements of power grids with more than 80 percent renewable energy and thus take on the role of energy storage. We are thus making a fundamental contribution to the discussion about the development of energy conversion systems for renewable energies. In addition, our junior research group is developing a guide describing the risk of grid instability for different combinations of power generation plants and energy storage systems with grid-connected or grid-forming inverters. In addition to the research performance, the team also wants to devote itself to technology transfer. For this purpose, suitable formats are to be developed together with the Saxon Competence Center for Hydrogen and Fuel Cells and cooperation with industrial partners is to be established.

Micro and Nano Sensors

2025
Carbon-RFID
CNT-based RFID nanocomposite sensor system for fatigue assessment of lightweight structures and load-bearing components (ZIM)
RailwayDMS
Self-sufficient measuring system for life-cycle monitoring of viscoelastic dampers (ZIM)

Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.02.2023 - 31.01.2025

Partners: TUC-Mess- und Sensortechnik, VELA Performance GmbH, Entiac GmbH

Aim: The aim of the Carbon-RFID project was to develop a novel intelligent wireless strain sensor for the precise measurement of strains in lightweight structures in the micro-strain range (0.1-2%). A dispersion method was developed to fabricate a hybrid nanocomposite carbon nanotube/graphene oxide/PEDOT:PSS-based patch antenna.

Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.03.2023 - 28.02.2025

Partners: TUC-Mess- und Sensortechnik, Hydrostat International GmbH Energy Absorbing Devices + Service, ElektroSolid GmbH

Aim: The aim of the project was the development of a novel strain gauge (5.5 MOhm, k-factor > 10) based on nanoparticle-polymer composites and associated measurement electronics for the autonomous acquisition, storage and release of data for the life cycle monitoring of viscoelastic dampers in rail vehicles.
2024
3DSense
3D-Printed Force Sensors Based on MWCNT-TPU Granulates
Senshole
Smart CNT multi-sensor sole for accurate foot pressure measurement for prevention of serious foot injuries (ZIM)
SmartHoub
Smart Lightweight Functionalized Materials for Housing of Batteries
SensoMat
Smart mattress with a matrix of sensors based on nanocomposites for monitoring pressure ulcers and decubitus ulcers (ZIM)

Duration: 2022 - 2024

Partners: TUC-Mess- und Sensortechnik, HEMA - Orthopädische Systeme GmbH

Aim: Duration: 2022 - 2024 Partners: TUC-Measurement and Sensor Technology, HEMA - Orthopädische Systeme GmbH Aim: The 3DSens project aimed to develop a new generation of 3D-printed force and pressure sensors based on thermoplastic polyurethane (TPU) and multi-walled carbon nanotube (MWCNT) nanocomposites. Using advanced dispersion and hot pressing techniques, TU Chemnitz produced highly homogeneous conductive granulates that HEMA GmbH processed through Fused Pellets Fabrication (FPF) to create flexible, precise, and reproducible sensors. These sensors were integrated into foot-pressure measurement insoles.

Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.06.2022 - 31.05.2024

Partners: TUC-Mess- und Sensortechnik, Mosca Elektronik und Antriebstechnik GmbH, Hammerich Orthopädie GmbH Wismar

Aim: The aim of the project was to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. A dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm was developed.

Duration: 15/06/2021 - 31/05/2024

Partners: TUC-Mess- und Sensortechnik, TUC-Professur Strukturleichtbau und Kunststoffverarbeitung, ?zmir Katip Çelebi University (Türkei), University of Sao Paulo FFCLRP (Brasilien), Bavi Plastic Ltda. (Brasilien)

Aim: In SmartHoub, a novel, functional, smart battery packaging technology was developed based on a hybrid laminate material system that combined printed electronics with lightweight structural composite and metal layers. The hybrid laminate offered a high strength-to-density ratio with 40% weight reduction compared to steel.

Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.08.2022 - 31.07.2024

Partners: TUC-Mess- und Sensortechnik, Motz GmbH

Aim: The "SensoMat" project aimed to develop a novel intelligent modular mattress with a matrix of sensors (1,089) for precise monitoring of pressure ulcers and decubitus. A dispersion method was developed to produce an ultra-thin sensitive layer based on CNT sensors.
2023
CENTAUR
Ceramics with sensing capabilities for high temperature applications (M-Era.Net)
EU
TrefKla
Development of a highly sensitive tread for the early detection of hoof diseases in cattle (BmEL)

Funded by EU von der Europäischen Union im Rahmen des Programms M-Era.Net , Duration: 06/2020 - 12/2023 (42 Monate) (43 months)

Partners: TUC-Mess- und Sensortechnik, TUC-Strukturleichtbau und Kunststoffverarbeitung, Luxembourg Institute of Science and Technology, Technical University of Liberec

Aim: Goal:The goal of CENTAUR was the development of a family of functional materials based on oxide ceramic matrix composites (CMC), which are reinforced with oxide ceramic fibers and carbon nanostructures. The new material came with built-in sensing capabilities and could be manufactured using 3D printing processes.

Funded by vom Bundesministerium für Landwirtschaft und Ernährung (BmLE) , Duration: 2020 - 2023

Partners: TUC-Mess- und Sensortechnik, kessler engineering GmbH, Gummiwerk KRAIBURG Elastik GmbH & Co. KG, FFI GmbH, Institut für Bioprozess- und Analysenmesstechnik e.V.

Aim: In this project, an intelligent mat was developed that recorded pressure distribution with precise nanocomposite sensors in order to draw conclusions about hoof diseases. Using intelligent signal processing, healthy and diseased claws were differentiated and the animals were assigned via transponders to monitor their state of health through field measurements.
2022
HZwoFRAME
Adaptive stack bracing using shape memory alloys and smart seals (EFFRE)
SAB

Funded by SAB von der SAB und EFFRE Fonds , Duration: 1/2020 - 04/2022 (28 Monate)

Partners: TUC-Mess- und Sensortechnik, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (IWU), Scherdel Marienberg GmbH, ANDAV electronics GmbH i. G., IDT Industrie- und Dichtungstechnik Werk Kupferring GmbH

Aim: The aim of the project, TP 1.3, is the development of a novel clamping concept based on shape memory alloys (SMA). This makes it possible to individually and precisely set the preload force during stack assembly and, above all, during operation, depending on the stack temperature. The temperature of the fuel cell stack and an external energy supply can be used for this. In the event of increased performance requirements, for example, an active increase in the preload force between the bipolar plates can be implemented, which keeps the stack in the optimum operating range.

At the same time, the goal is to integrate smart seals into existing stack structures. On the one hand, the preload forces applied and the resulting pressure on the seals can be directly linked and the amount of preload can be monitored. Reductions in preload force as a result of a drop in pressure can thus be continuously recorded and corrected by the adaptive stack bracing. In addition, it is possible to monitor the pressure distribution over the sealing surface. Different pressure distributions (e.g. due to shape and position deviations of the stack components) can be recorded and locally adjusted by external control of individual SMA elements.
2021
HybHer
Hybrid nanocomposite sensor comprising a hybrid nanocomposite and method of making same (BmWi)
BMWi

Funded by BMWi vom BMWi und TU Chemnitz , Duration: 1/2020-12/2021 (24 Monate)

Partners: TUC-Mess- und Sensortechnik

Aim: Goal: The goal of the project is a flexible, durable and battery-free wireless sensor based on nanomaterials, such as e.g. carbon nanofiller to develop in the form of a patch antenna. Using nanomaterials, sensitivity, resolution and interrogation distance can be significantly improved. The RFID patch antenna sensor is optimized with regard to reproducibility and compensation of cross-sensitivities. A complete system solution is to be implemented by developing a suitable reader for reading the sensor. With this system, the advantages of the nanocomposite material are to be demonstrated and the marketing of an own patent is to be promoted.
2020
Printexray
Printed sensor layers made of carbon nanotubes on textiles (IGF)
BMWi

Funded by BMWi vom BMWi im Rahmen des Programms IGF, Projektlaufzeit: 08.2018 -06.2020 , Duration: 08.2018 -06.2020

Partners: TUC measurement and sensor technology, TUC print media technology, TITV Greiz

Aim: The aim is to combine printed sensors based on CNT/polymer composites and conductively structured textile surfaces in such a way that universally applicable textile sensor surfaces for pressure and humidity monitoring are created, which are particularly suitable for applications in the care sector. In contrast to previous measuring systems, multifunctional sensors are to be implemented with simultaneously improved sensor properties (higher sensitivity, larger measuring range, high flexibility). For this purpose, the precisely printed sensors are connected to large textile surfaces using robust metallized yarns.
Undated
Ki-No
Development of a miniaturized, energy self-sufficient multi-sensor platform as a universal IoT solution (ZIM)
BMWi
Wear-Track
Energy self-sufficient wear tracker for condition monitoring of intralogistics material flow systems (ZIM)
BMWi
SenseCare
Junior research group high-tech sensors for the challenge of demographic change in Saxony
PrinDASA
Junior Research Group: "Printed Devices in Active and Sensory Applications
Novel strain gauges and
pressure sensors based on carbon nanotubes
DrehKo
Pressure sensors based on CNTs
Neuartige Dehnungsmessstreifen
und Drucksensoren auf der Basis von Carbon Nanotubes

Funded by BMWi vom BmWi, Laufzeit 2020-2022

Partners: TUC-Mess- und Sensortechnik, Fraunhofer-Institut für Mikroelektronische Schaltungen und Systeme IMS, Gesellschaft für Elektronik und Design mbH

Aim: The diverse fields of application of IoT (Internet of Things) make it difficult to generalize products in the sensor technology sector. Many multi-sensor systems are designed for a specific application. The project consortium wants to counteract this situation with an innovative sensor solution. A fully customizable multi-sensor platform is to be developed, which is controlled by a specially developed artificial intelligence (AI). Based on a modular principle, the customer can decide for himself and put together which sensors and functions are decisive for him. This makes it possible to cover a large range of applications in the IoT sector with one product. Furthermore, the energy supply of the multi-sensor platform should be self-sufficient via a likewise customizable energy harvesting technology and the data should be processed locally using a specially developed embedded AI without uploading to a cloud being necessary. In addition, the multi-sensor platform is offered as a miniature solution that is 2-3 times smaller than other current solutions, while still being offered at a price that is at least 50% lower than competing products.

Funded by BMWi vom BmWi, Laufzeit 2020-2022

Partners: TUC-Mess- und Sensortechnik, JG special products GmbH, aiXtrusion GmbH, IPM Industrieprodukte Meissner GmbH

Aim: The aim of the project is the development of a system for innovative wear monitoring of chain links and slide rails in chain conveyor systems based on an energy self-sufficient, miniaturized sensor element. This is to be integrated directly into a new type of conveyor chain link and, for the first time, continuous online monitoring of the condition of chain conveyor systems to determine the progress of wear is to be carried out by means of contactless energy transmission and wireless data exchange.

Cooperations and Networking

2025
BiowAC
Biowaste-derived Activated Carbon Materials for Environmental Contaminants Detection and Remediation

Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2024 - 12/2025 (24 months)

Partners: Chemnitz University of Technology (Germany), University of Belgrade - Faculty of Physical Chemistry, and VINCA Institute of Nuclear Sciences (Serbia)

Aim: The BiowAC project aims to synthesize novel activated carbon materials derived from biowaste and use them for the detection and remediation of environmental contaminants such as pesticides and dyes in water. The project combines theoretical modeling (DFT) and experimental validation to develop sensitive, stable, and eco-friendly electrochemical sensors and adsorbents. By supporting international mobility and collaboration between Germany and Serbia, BiowAC enhances the research capabilities of young scientists while addressing critical environmental challenges through innovative, low-cost sensing technologies.

Wearable Systems

2024
Senshole supporting
Smart CNT multi-sensor sole for accurate foot pressure measurement for prevention of serious foot injuries (ZIM)

Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.06.2022 - 31.05.2024

Partners: TUC-Mess- und Sensortechnik, Mosca Elektronik und Antriebstechnik GmbH, Hammerich Orthopädie GmbH Wismar

Aim: The aim of the project was to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. A dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm was developed.
2022
SFB 1410 Teilbereich A03
Tailored Body-attached Sensor-Network for Real-Time Motion Sensing (DFG)
DFG EU

Funded by DFG EU von der Deutschen Forschungsgemeinschaft (DFG) im Rahmen des Sonderforschungsbereichs (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies , Duration: 2/2020 - 2/2022 (48 Monate)

Partners: TUC-Mess- und Sensortechnik, TUC-Sportgeräte & Technik

Aim:

Funded by the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies, duration: 2/2020 - 2/2022 (48 months) Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology Aim: The project aimed at the systematic elaboration of a methodology for setting up custom biomimetic BASNs for real-time detection of BGC and complex gestures based on novel sensor principles using polymeric carbon nanotube composites (PCN) with high sensitivity to pressure and load.

Undated
SimKra
Parameterized simulation of joining forces for digital validation of assembly processes

Funded by Förderer: Beginn 08/10/2020 -Anfang 07/10/2022

Partners: TUC- Mess- und Sensortechnik (Deutschland), imk automotive GmbH, Institut für Mechatronik e. V.

Aim:

Goal: SimKra pursues the goal of digitally securing assembly processes by means of a parameterized simulation of joining forces in order to at least reduce the aforementioned health risks for the workers involved in assembly, which also increases the profitability of the company. The design of humane and economical processes requires precise and efficient determination of joining forces and times. For this reason, a methodology is being developed as part of the SimKra research project, which makes it possible to determine the joining forces acting during manual joining and the loads in the hand-arm system as part of virtual production planning according to ergonomically and economically relevant criteria Properties of the joining partners, joining point, coupling and environmental conditions are taken into account in the forecast model to be developed for the determination of joining forces. The prognosis model is created from extensive measurements in connection with FEM simulations. The basis for the numerical model to be developed is an extensive series of measurements, which include both idealized standardized measurements and practical measurements using various measuring instruments and subjects. In order to collect valid force data, force measurement methods, sensors and a corresponding force measuring stand must be designed with which the joining conditions and the work execution can be varied and their influence on the joining force can be mapped in the model.

Wireless Sensors and Energy Harvesting

2026
SmartCharge
Development of a universal flat charging pad using printed electronics with adaptive real-time power adjustment

Funded by vom BmWE, Laufzeit 2023-2026 , Duration: 2023-2026

Partners: TUC-Mess- und Sensortechnik, Siebdruck Freudenberg GmBH, etatronix GmbH

Aim: This project is developing a new large-area Qi-compatible charging pad with adaptive real-time power adjustment for more powerful receivers. The flat design is made possible by printed electronics with special material combinations and innovative thermal management to achieve high power and efficiency. Impedance measurements, control algorithms and matching networks are used to locate the receivers and supply them with energy individually using variable magnetic fields from a 3D coil array. This means that only the required coils are activated, allowing energy losses and interfering magnetic fields to be localised. The charging pad will adapt flexibly to different product designs and can be used for the universal supply of more powerful electronic devices.
Undated
Hydromon
Hydrological measuring system for permanent and reliable water monitoring (BmBF)
BMBF

Funded by BMBF the BmBF, duration 30 months

Partners: TUC measurement and sensor technology, SEBA hydrology, JuB GmbH

Aim:

The recording of water levels, flow velocities, wave propagation and other parameters is essential for civil protection during a flood. Measuring these parameters is particularly difficult in such situations. The partners in the "HydroMon" project are working on a sensor network that can monitor the environment in these situations. The network will work independently. It is powered by energy harvesting and communicates wirelessly. Ease of installation is just as important as low cost so that the system can be used in both developed and developing countries. It is easy to install and reliably provides information to emergency management.

 

For an overview of our research focus areas, see here.

Electrochemical Sensors

REACT
Multiphysics-Driven Design and Development of a Hybrid EC-SAW Sensor for Real-Time Environmental Monitoring and Health Applications
OASIS
Open Innovation Alliance for Sustainable Islamic Societies in Water and Health
SalmoSens
Rapid detection of salmonella using a smart multiplexed impedimetric paper-based sensor

Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2026 - 12/2027 (24 months)

Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Conservatoire National des Arts et Métiers CNAM (France)

Aim: The REACT project aims to develop a hybrid electrochemical–surface acoustic wave (EC–SAW) sensor for real-time and selective detection of antibiotic residues, using tetracycline as a model analyte for environmental and health-related applications. Building on a validated EC–SAW proof-of-concept from a previous DAAD PPP project, REACT applies a multiphysics-driven design approach combining simulation, microfabrication, and optimized electrochemical interfaces to enhance acoustic–electrochemical signal coupling. The platform integrates aptamer-based surface functionalization with dual-mode signal acquisition-assisted data fusion to improve sensitivity, response time, and robustness in complex matrices.

Funded by vom DAAD - Internationales Kooperationsprogramm , Duration: 01/2025 - 12/2026 (24 months)

Partners: Deutschland: Chemnitz University of Technology (TUC), EvoSmarTec GmbH, Mali: University of Science, Technique and Technologies of Bamako (USTTB), CERFILTEX, DONYATEK SARL, Ägypten: (Partneruniversitäten über Doktorandenaustausch eingebunden)

Aim:

The OASIS project (Open Innovation Alliance for Sustainable Islamic Societies in Water and Health) aims to foster interdisciplinary research, innovation, and capacity building in the areas of water and health through international cooperation between Germany, Mali, and Egypt. Core objectives include PhD student exchanges, joint innovation schools and camps, and industrial internships to address societal challenges in water and healthcare using open innovation methodologies. The project emphasizes mutual learning and co-creation between academic and non-academic stakeholders through hands-on training, joint research, and networking.

Wireless Sensors and Energy Harvesting

Nachwuchsforschergruppe Nitramon
Self-sufficient sensor network for online nitrate monitoring in agriculture (ESF)
SAB EU

Funded by SAB EU von der SAB aus Mitteln der Europäischen Fonds, Laufzeit 7/2018-6/2021

Partners: TUC- Mess- und Sensortechnik, TUC-Numerische Mathematik, TUC-Regelungstechnik und Systemdynamik, TUC-Supramolekulare Chemie

Aim:

Der Fokus des Forschungsvorhabens liegt in der Umsetzung und Untersuchung eines Sensorsystems zur Detektion von Nitrat und Messung der Nitratkonzentration. Darüber hinaus soll ein autarkes Sensornetzwerk entwickelt werden, mit welchem es sowohl möglich ist, die Nitratsensoren mit ambienter Energie, beispielsweise aus Sonnenlicht oder Temperaturgradienten, zu versorgen als auch die Sensordaten kontinuierlich zu erfassen und an eine zentrale Stelle zur Auswertung drahtlos zu übertragen. Mit dem entwickelten Sensorkonzept wird eine kontinuierliche Überwachung von Nitrat im Boden möglich. Aufgrund der autarken Energieversorgung arbeitet das Sensorsystem wartungsfrei und effizient. Durch geeignete Platzierung der Sensoren und einer geeigneten Messstellendichte wird eine feld- bzw. betriebsbezogene Zuordnung von Nitrateintrag möglich. Dieser Sensor dient damit gleichermaßen als Kontrollinstrument sowohl für die Landwirte zur Bewertung der Bodenbeschaffenheit als Grundlage der Düngebedarfsermittelung für die jeweilige Kultur und den nötigen Nährstoffeintrag als auch für die zuständigen Umweltbehörden zur Bewertung des Nitratgehalts in Böden zum Schutz der Gewässer und der Einhaltung der Regeln des Düngens nach guter fachlicher Praxis, z. B. Einhaltung von Abständen zu Gewässern oder Dünge-Sperrfristen. Aus dieser Bedarfsermittlung ergeben sich Kosteneinsparungen durch die optimale Düngung bei gleichzeitiger Bodenschonung.

➜ Project website

Wearable Systems

Hybrid Societies
Collaborative Research Center: Hybrid Societies : Humans interact with embodied digital technologies
TIRAM
Remote care of people with respiratory insufficiency by ventilation Adapted to tomographic thoracic bioimpedance measurements (MES, Tunesien)
Aim:

Humans effortlessly coordinate with one another because of their ability to communicate, recognize intention, and control movement. They dodge each other skillfully or hand over objects without a time delay. In order for encounters and cooperation in hybrid societies to be similarly fluid, it is necessary to achieve efficient coordination between humans and embodied technologies such as robots. This requires knowledge of human interactions and technical skills. Therefore, researchers from the fields of psychology, engineering, computer science, movement sciences, linguistics, gesture research, sociology, physics, mathematics, and law work closely together in the CRC "Hybrid Societies." The scientific questions related to new forms of human-technology interaction which arise from the rapid development of embodied technologies. Embodied technologies include those that are partially or temporarily controlled by humans, such as bionic prostheses or telepresence robots and avatars in virtual realities. For more information, see : https://hybrid-societies.org/

Funded by the Ministry of Higher Education (Tunisia) , Duration: 5/2020 - 4/2022 (24 Monate)

Partners: TUC Mess- und Sensortechnik (MST), Ecole Nationale d'Ingénieurs de Sousse, Ecole Nationale d'Ingénieurs de Sfax, Ecole Nationale d'Eléctronique et des Telecommunications, Hôpital Farhat Hached Sousse

Aim:

Goal: The goal of the project is the development of an assistance system for people with acute or chronic respiratory insufficiency. The system consists of an artificial ventilator, a non-invasive system for tomographic measurement of the electrical impedance of the lungs and a platform for remote monitoring/diagnosis of patients in the ICU or at home. A digital platform will ensure collaborative telediagnosis and tele-expertise, especially in areas with low medical demographics.